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nimbryx

Industry · Manufacturing & Trade

Inventory and supplier systems for operations that have outgrown Tally and Excel.

Tally does your accounts well. It was never meant to run your shop floor. So purchase orders, stock across godowns, supplier follow-ups and QC checks end up in a pile of spreadsheets that only two people understand. When one of them goes on leave, things slow down. We build the operations layer that sits next to Tally and ties those pieces together.

Discuss your project

The problems we see most often

  • Stock spread across several Excel files and a few WhatsApp chats
  • Purchase orders raised with no proper approval step
  • Supplier follow-ups over email, with no way to see what's pending
  • Production schedules managed by hand, so problems surface late
  • No live stock view across your warehouse locations
  • QC records on paper, with no digital trail for audits

What we build for manufacturing businesses

  • Inventory systems that track stock across multiple locations
  • Purchase order workflows with approval stages and supplier portals
  • Production scheduling dashboards that alert you to exceptions
  • QC checklists with digital sign-off and an audit log
  • Supplier portals for PO acknowledgement and delivery confirmation
  • Tally integration so nobody enters the same data twice

What we’ve actually built

Manufacturing / Warehouse Operations

A manufacturing company with 4 warehouses, Noida

Next.js · Node.js · PostgreSQL · Tally TDL integration · Barcode scanner support · Mobile-optimised picking UI

Stock moving between warehouses went invisible for days. Goods marked dispatched from one site wouldn't show as received at the other until a manager picked up the phone to ask. Mis-picks were driving a 6% customer return rate, and the operations head couldn't trace the cause because nobody recorded who picked what. Every count was manual, so investigating a discrepancy meant physically recounting whole bays.

Outcome

Mis-picks fell from 6% to under 0.8% in the first two months. Transfer discrepancy investigations that used to eat 40 hours a month now take under 5. The Tally sync made the manual entry role unnecessary, and that person moved on to more useful work. The operations head can see stock by location across all four warehouses on one dashboard, without calling anyone.

Read full case study

Fashion / E-commerce

A D2C apparel brand, Delhi

Node.js · Shopify API · PostgreSQL · Webhook architecture · Automated reconciliation

The brand ran Shopify with three inventory plugins that kept drifting out of sync with each other. Returns were handled by hand: after each return was inspected, someone updated stock manually. At around 800 orders a month, the inventory discrepancy rate had hit 8%, and customers were complaining about ordering items that turned out to be out of stock.

Outcome

The inventory discrepancy rate fell from 8% to under 1% within two months. Returns now get processed the same day instead of taking 2–3 days. And dropping the three plugins cut their Shopify app bill by ₹18,000 a year, which was a nice bonus.

Read full case study
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Have a manufacturing project that needs a custom system?

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